Homeostasis as a proportional–integral control system

Abstract According to medical guidelines, the distinction between “healthy” and “unhealthy” patients is commonly based on single, discrete values taken at an isolated point in time (e.g., blood pressure or core temperature). Perhaps a more robust and insightful diagnosis can be obtained by studying...

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Autores principales:	Lennaert van Veen, Jacob Morra, Adam Palanica, Yan Fossat
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Computer applications to medicine. Medical informatics R858-859.7
Acceso en línea:	https://doaj.org/article/8a4013b3f53846889678bb7e52be1f13
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spelling	oai:doaj.org-article:8a4013b3f53846889678bb7e52be1f132021-12-02T15:45:21ZHomeostasis as a proportional–integral control system10.1038/s41746-020-0283-x2398-6352https://doaj.org/article/8a4013b3f53846889678bb7e52be1f132020-05-01T00:00:00Zhttps://doi.org/10.1038/s41746-020-0283-xhttps://doaj.org/toc/2398-6352Abstract According to medical guidelines, the distinction between “healthy” and “unhealthy” patients is commonly based on single, discrete values taken at an isolated point in time (e.g., blood pressure or core temperature). Perhaps a more robust and insightful diagnosis can be obtained by studying the functional interdependence of such indicators and the homeostasis that controls them. This requires quasi-continuous measurements and a procedure to map the data onto a parsimonious control model with a degree of universality. The current research illustrates this approach using glucose homeostasis as a target. Data were obtained from 41 healthy subjects wearing over-the-counter glucose monitors, and projected onto a simple proportional–integral (PI) controller, widely used in engineering applications. The indicators quantifying the control function are clustered for the great majority of subjects, while a few outliers exhibit less responsive homeostasis. Practical implications for healthcare and education are further discussed.Lennaert van VeenJacob MorraAdam PalanicaYan FossatNature PortfolioarticleComputer applications to medicine. Medical informaticsR858-859.7ENnpj Digital Medicine, Vol 3, Iss 1, Pp 1-7 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Computer applications to medicine. Medical informatics R858-859.7
spellingShingle	Computer applications to medicine. Medical informatics R858-859.7 Lennaert van Veen Jacob Morra Adam Palanica Yan Fossat Homeostasis as a proportional–integral control system
description	Abstract According to medical guidelines, the distinction between “healthy” and “unhealthy” patients is commonly based on single, discrete values taken at an isolated point in time (e.g., blood pressure or core temperature). Perhaps a more robust and insightful diagnosis can be obtained by studying the functional interdependence of such indicators and the homeostasis that controls them. This requires quasi-continuous measurements and a procedure to map the data onto a parsimonious control model with a degree of universality. The current research illustrates this approach using glucose homeostasis as a target. Data were obtained from 41 healthy subjects wearing over-the-counter glucose monitors, and projected onto a simple proportional–integral (PI) controller, widely used in engineering applications. The indicators quantifying the control function are clustered for the great majority of subjects, while a few outliers exhibit less responsive homeostasis. Practical implications for healthcare and education are further discussed.
format	article
author	Lennaert van Veen Jacob Morra Adam Palanica Yan Fossat
author_facet	Lennaert van Veen Jacob Morra Adam Palanica Yan Fossat
author_sort	Lennaert van Veen
title	Homeostasis as a proportional–integral control system
title_short	Homeostasis as a proportional–integral control system
title_full	Homeostasis as a proportional–integral control system
title_fullStr	Homeostasis as a proportional–integral control system
title_full_unstemmed	Homeostasis as a proportional–integral control system
title_sort	homeostasis as a proportional–integral control system
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/8a4013b3f53846889678bb7e52be1f13
work_keys_str_mv	AT lennaertvanveen homeostasisasaproportionalintegralcontrolsystem AT jacobmorra homeostasisasaproportionalintegralcontrolsystem AT adampalanica homeostasisasaproportionalintegralcontrolsystem AT yanfossat homeostasisasaproportionalintegralcontrolsystem
_version_	1718385762367438848

Homeostasis as a proportional–integral control system

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